2019 USGS Lidar: Eldorado CA
Data Set (DS) | OCM Partners (OCMP)GUID: gov.noaa.nmfs.inport:66639 | Updated: October 17, 2023 | Published / External
Summary
Short Citation
OCM Partners, 2025: 2019 USGS Lidar: Eldorado CA, https://www.fisheries.noaa.gov/inport/item/66639.
Full Citation Examples
The Project data set consists of the Classified Point Cloud. The Geographical Extent of this dataset extends to the entirety of the CA_UpperSouthAmerican_Eldorado_2019_B19 boundary, approximately 2,275 square miles of the AOIs. Ground Conditions: water at normal levels; no unusual inundation; no snow; leaf off. How the Withheld Points are Identified: Withheld (ignore) points were identified in the files using the standard LAS Withheld bit.
The USGS/BLM contracted Digital Aerial Solutions, LLC to obtain professional services related to the planning, acquisition and development of Light Detection and Ranging (Lidar) data and derivative products. The task order is for a QL1 LiDAR survey to be collected over Alameda, Alpine, Amador, Calveras, El Dorado, Placer, Sacramento, San Joaquin, Santa Clara and Stanislaus counties in California.
This metadata supports the data entry in the NOAA Digital Coast Data Access Viewer (DAV). For this data set, the DAV is leveraging the Entwine Point Tiles (EPT) hosted by USGS on Amazon Web Services.
Distribution Information
-
Create custom data files by choosing data area, product type, map projection, file format, datum, etc. A new metadata will be produced to reflect your request using this record as a base. Change to an orthometric vertical datum is one of the many options.
-
LAS/LAZ - LASer
Bulk download of data files in LAZ format, based on a horizontal datum/projection of CA State Plane Zone 2 NAD83(2011) US Survey Feet (EPSG: 6418), and a vertical datum of NAVD88 (GEOID12B) in US Survey feet (EPSG: 6360). This url links to the USGS copy of the files, from which the Entwine Point Tile files originated. These have not been reviewed by OCM and the link is provided here for convenience.
None
Users should be aware that temporal changes may have occurred since this data set was collected and some parts of this data may no longer represent actual surface conditions. Users should not use this data for critical applications without a full awareness of its limitations.
Controlled Theme Keywords
elevation, TERRAIN ELEVATION
Child Items
No Child Items for this record.
Contact Information
Point of Contact
NOAA Office for Coastal Management (NOAA/OCM)
coastal.info@noaa.gov
(843) 740-1202
https://coast.noaa.gov
Metadata Contact
NOAA Office for Coastal Management (NOAA/OCM)
coastal.info@noaa.gov
(843) 740-1202
https://coast.noaa.gov
Extents
-121.644597° W,
-119.828068° E,
38.960705° N,
37.444738° S
2020-03-05
2019-10-21 - 2019-11-02
Item Identification
Title: | 2019 USGS Lidar: Eldorado CA |
---|---|
Short Name: | ca2019_eldorado_m9452_metadata |
Status: | Completed |
Creation Date: | 2019 |
Publication Date: | 2022 |
Abstract: |
The Project data set consists of the Classified Point Cloud. The Geographical Extent of this dataset extends to the entirety of the CA_UpperSouthAmerican_Eldorado_2019_B19 boundary, approximately 2,275 square miles of the AOIs. Ground Conditions: water at normal levels; no unusual inundation; no snow; leaf off. How the Withheld Points are Identified: Withheld (ignore) points were identified in the files using the standard LAS Withheld bit. The USGS/BLM contracted Digital Aerial Solutions, LLC to obtain professional services related to the planning, acquisition and development of Light Detection and Ranging (Lidar) data and derivative products. The task order is for a QL1 LiDAR survey to be collected over Alameda, Alpine, Amador, Calveras, El Dorado, Placer, Sacramento, San Joaquin, Santa Clara and Stanislaus counties in California. This metadata supports the data entry in the NOAA Digital Coast Data Access Viewer (DAV). For this data set, the DAV is leveraging the Entwine Point Tiles (EPT) hosted by USGS on Amazon Web Services. |
Purpose: |
The deliverable products would be used by the USGS/BLM for conservation planning, design, research, floodplain mapping, wetlands identification, dam safety assessments, hydrologic modeling, and other environmental purposes. |
Supplemental Information: |
All Lidar data and associated products were acquired, calibrated, and used in the creation of Lidar derived products by Digital Aerial Solutions, LLC. ANPS: 0.35 Meters Tile Size: 2,500 Feet Spec: National Geospatial Program(NGP) Lidar Base Specification v2.1 LAS File Type: 1.4 type 6 The following are the USGS lidar fields in JSON: {
"ldrinfo" : {
"ldrspec" : "U.S. Geological Survey (USGS) - National Geospatial Program(NGP) Lidar Base Specification v2.1", "ldrsens" : "Leica Terrian Mapper SN# 90524", "ldrmaxnr" : "15", "ldrnps" : "0.35", "ldrdens" : "8.11", "ldranps" : "0.35", "ldradens" : "8.11", "ldrfltht" : "1900", "ldrfltsp" : "170", "ldrscana" : "40.0", "ldrscanr" : "150.0", "ldrpulsr" : "1,540", "ldrpulsd" : "3.3", "ldrpulsw" : "0.45", "ldrwavel" : "1064", "ldrmpia" : "0", "ldrbmdiv" : "0.25", "ldrswatw" : "13383.09", "ldrswato" : "30-55", "ldrgeoid" : "National Geodetic Survey (NGS) Geoid 12B" }, "ldraccur" : {
"ldrchacc" : "0", "rawnva" : "0", "rawnvan" : "0", "clsnva" : "0", "clsnvan" : "0", "clsvva" : "0", "clsvvan" : "0" }, "lasinfo" : {
"lasver" : "1.4", "lasprf" : "6", "laswheld" : "Withheld (ignore) points were identified in the files using the standard LAS Withheld bit.", "lasolap" : "Swath âÂÂoverageâ points were identified in these files using the standard LAS overlap bit.", "lasintr" : "16", "lasclass" : {
"clascode" : "1", "clasitem" : "Undetermined/Unclassified" }, "lasclass" : {
"clascode" : "2", "clasitem" : "Bare earth" }, "lasclass" : {
"clascode" : "7", "clasitem" : "Low Noise" }, "lasclass" : {
"clascode" : "9", "clasitem" : "Water" }, "lasclass" : {
"clascode" : "17", "clasitem" : "Bridges" }, "lasclass" : {
"clascode" : "18", "clasitem" : "High Noise" }, "lasclass" : {
"clascode" : "20", "clasitem" : "Ignored Ground" }, "lasclass" : {
"clascode" : "21", "clasitem" : "Snow" }, "lasclass" : {
"clascode" : "22", "clasitem" : "Temporal Exclusion" } }} |
Keywords
Theme Keywords
Thesaurus | Keyword |
---|---|
Global Change Master Directory (GCMD) Science Keywords |
EARTH SCIENCE > LAND SURFACE > TOPOGRAPHY > TERRAIN ELEVATION
|
ISO 19115 Topic Category |
elevation
|
Spatial Keywords
Thesaurus | Keyword |
---|---|
Global Change Master Directory (GCMD) Location Keywords |
CONTINENT > NORTH AMERICA > UNITED STATES OF AMERICA
|
Global Change Master Directory (GCMD) Location Keywords |
CONTINENT > NORTH AMERICA > UNITED STATES OF AMERICA > CALIFORNIA
|
Global Change Master Directory (GCMD) Location Keywords |
VERTICAL LOCATION > LAND SURFACE
|
Instrument Keywords
Thesaurus | Keyword |
---|---|
Global Change Master Directory (GCMD) Instrument Keywords |
LIDAR > Light Detection and Ranging
|
Platform Keywords
Thesaurus | Keyword |
---|---|
Global Change Master Directory (GCMD) Platform Keywords |
Airplane > Airplane
|
Physical Location
Organization: | Office for Coastal Management |
---|---|
City: | Charleston |
State/Province: | SC |
Data Set Information
Data Set Scope Code: | Data Set |
---|---|
Data Set Type: | Elevation |
Maintenance Frequency: | As Needed |
Data Presentation Form: | Model (digital) |
Entity Attribute Detail Citation: |
None |
Distribution Liability: |
None, any conclusions drawn from the analysis of this information are not the responsibility of NOAA, the Office for Coastal Management or its partners. |
Data Set Credit: | Digital Aerial Solutions, LLC, USGS |
Support Roles
Data Steward
Date Effective From: | 2022 |
---|---|
Date Effective To: | |
Contact (Organization): | NOAA Office for Coastal Management (NOAA/OCM) |
Address: |
2234 South Hobson Ave Charleston, SC 29405-2413 |
Email Address: | coastal.info@noaa.gov |
Phone: | (843) 740-1202 |
URL: | https://coast.noaa.gov |
Distributor
Date Effective From: | 2022 |
---|---|
Date Effective To: | |
Contact (Organization): | NOAA Office for Coastal Management (NOAA/OCM) |
Address: |
2234 South Hobson Ave Charleston, SC 29405-2413 |
Email Address: | coastal.info@noaa.gov |
Phone: | (843) 740-1202 |
URL: | https://coast.noaa.gov |
Distributor
Date Effective From: | 2022 |
---|---|
Date Effective To: | |
Contact (Organization): | U.S. Geological Survey |
Address: |
12201 Sunrise Valley Drive Reston, VA 20191 USA |
URL: | USGS Home |
Metadata Contact
Date Effective From: | 2022 |
---|---|
Date Effective To: | |
Contact (Organization): | NOAA Office for Coastal Management (NOAA/OCM) |
Address: |
2234 South Hobson Ave Charleston, SC 29405-2413 |
Email Address: | coastal.info@noaa.gov |
Phone: | (843) 740-1202 |
URL: | https://coast.noaa.gov |
Point of Contact
Date Effective From: | 2022 |
---|---|
Date Effective To: | |
Contact (Organization): | NOAA Office for Coastal Management (NOAA/OCM) |
Address: |
2234 South Hobson Ave Charleston, SC 29405-2413 |
Email Address: | coastal.info@noaa.gov |
Phone: | (843) 740-1202 |
URL: | https://coast.noaa.gov |
Extents
Currentness Reference: | Ground Condition |
---|
Extent Group 1
Extent Group 1 / Geographic Area 1
W° Bound: | -121.644597 | |
---|---|---|
E° Bound: | -119.828068 | |
N° Bound: | 38.960705 | |
S° Bound: | 37.444738 |
Extent Group 1 / Time Frame 1
Time Frame Type: | Discrete |
---|---|
Start: | 2020-03-05 |
Extent Group 1 / Time Frame 2
Time Frame Type: | Range |
---|---|
Start: | 2019-10-21 |
End: | 2019-11-02 |
Spatial Information
Spatial Representation
Representations Used
Vector: | Yes |
---|
Reference Systems
Reference System 1
Coordinate Reference System |
|||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
|
Reference System 2
Coordinate Reference System |
|||||||||||||||||||||||
|
Access Information
Security Class: | Unclassified |
---|---|
Data Access Procedure: |
Data is available online for bulk and custom downloads. |
Data Access Constraints: |
None |
Data Use Constraints: |
Users should be aware that temporal changes may have occurred since this data set was collected and some parts of this data may no longer represent actual surface conditions. Users should not use this data for critical applications without a full awareness of its limitations. |
Distribution Information
Distribution 1
Start Date: | 2022-02-16 |
---|---|
End Date: | Present |
Download URL: | https://coast.noaa.gov/dataviewer/#/lidar/search/where:ID=9452/details/9452 |
Distributor: | NOAA Office for Coastal Management (NOAA/OCM) (2022 - Present) |
File Name: | Customized Download |
Description: |
Create custom data files by choosing data area, product type, map projection, file format, datum, etc. A new metadata will be produced to reflect your request using this record as a base. Change to an orthometric vertical datum is one of the many options. |
File Type (Deprecated): | Zip |
Compression: | Zip |
Distribution 2
Start Date: | 2022-02-16 |
---|---|
End Date: | Present |
Download URL: | https://rockyweb.usgs.gov/vdelivery/Datasets/Staged/Elevation/LPC/Projects/CA_UpperSouthAmerican_Eldorado_2019_B19/CA_UpperSouthAmerican_Eldorado_2019/LAZ/ |
Distributor: | U.S. Geological Survey (2022 - Present) |
File Name: | Bulk Download |
Description: |
Bulk download of data files in LAZ format, based on a horizontal datum/projection of CA State Plane Zone 2 NAD83(2011) US Survey Feet (EPSG: 6418), and a vertical datum of NAVD88 (GEOID12B) in US Survey feet (EPSG: 6360). This url links to the USGS copy of the files, from which the Entwine Point Tile files originated. These have not been reviewed by OCM and the link is provided here for convenience. |
File Type (Deprecated): | LAZ |
Distribution Format: | LAS/LAZ - LASer |
Compression: | Zip |
URLs
URL 1
URL: | https://coast.noaa.gov/dataviewer/ |
---|---|
Name: | NOAA's Office for Coastal Management (OCM) Data Access Viewer (DAV) |
URL Type: |
Online Resource
|
File Resource Format: | HTML |
Description: |
The Data Access Viewer (DAV) allows a user to search for and download elevation, imagery, and land cover data for the coastal U.S. and its territories. The data, hosted by the NOAA Office for Coastal Management, can be customized and requested for free download through a checkout interface. An email provides a link to the customized data, while the original data set is available through a link within the viewer. |
URL 2
URL: | https://noaa-nos-coastal-lidar-pds.s3.amazonaws.com/laz/geoid12b/9452/supplemental/ca2019_eldorado_m9452.kmz |
---|---|
Name: | Browse graphic |
URL Type: |
Browse Graphic
|
File Resource Format: | KML |
Description: |
This graphic displays the footprint for this lidar data set. |
URL 3
URL: | https://rockyweb.usgs.gov/vdelivery/Datasets/Staged/Elevation/metadata/CA_UpperSouthAmerican_Eldorado_2019_B19/ |
---|---|
Name: | USGS Provided Data |
URL Type: |
Online Resource
|
Description: |
Link to the additional information available for this data set from the USGS. This information includes reports, tile index shapefiles, and hydro breaklines. |
URL 4
URL: | https://rockyweb.usgs.gov/vdelivery/Datasets/Staged/Elevation/metadata/CA_UpperSouthAmerican_Eldorado_2019_B19/CA_UpperSouthAmerican_Eldorado_2019_B19_WP_Report.pdf |
---|---|
Name: | USGS Work Package Report |
URL Type: |
Online Resource
|
File Resource Format: | |
Description: |
Link to the USGS report that provides the project information, vertical accuracy results, list of classifications, sensor used, and work unit information. |
Technical Environment
Description: |
Inertial Explorer ver: 8.9; Leica HxMap Ver:2.5.1; GeoCue Ver: 2014.1.21.4; Microstation V8i; Terresolid ver: 2015; LP360 ver: 2014.1.51.1; Arcmap ver: 10.4; Global Mapper ver: 16 |
---|
Data Quality
Vertical Positional Accuracy: |
This data set was produced to meet ASPRS Positional Accuracy Standard for Digital Geospatial Data (2014) for a 10-cm RMSEz Vertical Accuracy Class. USGS Determined Vertical Accuracy Non-Vegetated Vertical Accuracy (NVA) = 5.6 cm RMSE Vegetated Vertical Accuracy (VVA) = 21.94 cm at the 95th Percentile Please refer to the USGS Work Package report in the URL section of this metadata record for additional information about the vertical accuracy determinations. |
---|---|
Completeness Report: |
The RAW LAS data files included all data points collected. No points have been removed or excluded. A visual qualitative assessment was performed to ensure data completeness. No void areas or missing data exist. The RAW point cloud is of good quality and data passes Fundamental Vertical Accuracy specifications. Void areas (i.e., areas outside the project boundary but within the tiling scheme) are coded using a unique NODATA value. This value is identified in the appropriate location within the file header. |
Conceptual Consistency: |
Aerial LiDAR data covers the entire 2,275 square mile Area of Interest intended for this project task. All LiDAR Point Cloud tiles show no edge artifacts or mismatches from tile to tile. Void areas (i.e., areas outside the project boundary but within the tiling scheme) are coded using a unique NODATA value. This value is identified in the appropriate location within the file header. Data cover the entire area specified for this project. |
Data Management
Have Resources for Management of these Data Been Identified?: | Yes |
---|---|
Approximate Percentage of Budget for these Data Devoted to Data Management: | Unknown |
Do these Data Comply with the Data Access Directive?: | Yes |
Actual or Planned Long-Term Data Archive Location: | NCEI-CO |
How Will the Data Be Protected from Accidental or Malicious Modification or Deletion Prior to Receipt by the Archive?: |
Data is backed up to tape and to cloud storage. |
Lineage
Lineage Statement: |
The CA Eldorado lidar was ingested into the Data Access Viewer for custom product generation by leveraging USGS hosted Entwine Point Tiles. |
---|
Sources
Entwine Point Tiles on AWS
Contact Role Type: | Publisher |
---|---|
Contact Type: | Organization |
Contact Name: | USGS |
Citation URL: | https://usgs.entwine.io/ |
Citation URL Name: | USGS Entwine Point Cloud |
Process Steps
Process Step 1
Description: |
Aerial LiDAR Acquisition: LiDAR acquisition was done using Carson City Airport (KCXP),Placerville Airport(JS4761),Tracy Municipal Airport (KTCY) and Columbia Airport(O22). DAS used two dedicated GPS base station located at the respective airports to support the aerial LiDAR acquisition. DAS used Leica’s Terrian Mapper LiDAR Sensor (SN90524) for the acquisition. The project consisted of 399 flightlines totaling 8,871.32 nautical miles. The acquisition was completed in 22 lifts on October 21st - November 2nd,2019 and March 5th, 2020. Ground Control Survey: A survey was performed to support the acquisition of Light Detection and Ranging (LiDAR). The control network involved a total of One Hundred Sixty-Three (163) check points (94 NVA + 69 VVA). The points were a combination of the following ground cover classification: Open Terrain, Urban Terrain, Bare Earth, High Grass, and Low Trees. All field survey observations were conducted between October 22, 2019 and it was completed October 30, 2019 with Leica GPS GS15 and 1200 equipment. |
---|---|
Process Date/Time: | 2020-02-15 00:00:00 |
Process Step 2
Description: |
LiDAR Data Processing: Inertial Explorer 8.9 software was used to compute inertial solution file (*.sol) for each mission using ground GPS base station. The resulting solution was checked to ensure a minimum accuracy of +/- 0.05m, combined separation, for horizontal and vertical positions. Inertial Explorer methodology integrates Inertial Navigation Solution by processing the GPS data and Inertial Measurement Unit (IMU). The software applies the reference lever arms for the GPS and IMU during the process to determine the trajectory (position and orientation) of the LiDAR sensor during the acquisition mission. Inertial Explorer generated graphical results was reviewed to ensure that the IMU data was healthy. These results are found in Appendix D.
Raw LiDAR sensor ranging data and the final solution sensor trajectory (*.sol), from Inertial Explorer, were processed in Leica’s HxMap software to produce LiDAR point cloud swath for each flight line in LAS version 1.4 file format. Quality control of the swath point cloud was performed to validate proper functioning of the sensor system, full coverage of the project area and point density of the LiDAR data. Swath point clouds were assigned unique file source identification. The data was found to be complete and consistent with the sensor calibration parameters. |
---|---|
Process Date/Time: | 2020-01-24 00:00:00 |
Process Step 3
Description: |
LiDAR Calibration: HxMap is the common workflow platform for Leica airborne sensors. The processing workflow involves; Ingest, Block Creation, LiDAR Matching, Quality Assurance (QA) and Product Generation. LiDAR is processed in HxMap by generating point clouds from raw sensor data during the Ingest step. Noise filtering, sensor installation calibration and atmospheric condition parameters are also applied during the ingest process. Once all data is processed through ingest, they are assembled into a block for LiDAR Matching. The LiDAR Matching step resolves LiDAR registration errors which remain in the point clouds after sensor and installation calibration parameters are applied in the ingest step. QA tool is run on the Block after LiDAR Matching to verify quality of results. QA results are reviewed to ensure that, 95% of patches less thand 5cm for Vertical Scan Direction and Vertical Line Separation. Ground control points are also included to assess absolute accuracy for the point cloud data. LiDAR products are finally generated in the Product Generation step as LAS swaths (LAS 1.4). Vertical (Z) shift (calculated from QA step) is also applied during the product generation. |
---|---|
Process Date/Time: | 2020-01-25 00:00:00 |
Process Step 4
Description: |
Original point clouds in LAS/LAZ format were restructured as Entwine Point Tiles and stored on Amazon Web Services. The data were re-projected horizontally to WGS84 Web Mercator (EPSG 3857). Vertically, the data were converted to meters and no changes were made to the vertical datum (NAVD88 GEOID12B; EPSG 5703). |
---|---|
Process Contact: | U.S. Geological Survey |
Process Step 5
Description: |
References to the entwine point tiles and data reports were ingested into the Digital Coast Data Access Viewer. No changes to the data were made at this point. The Data Access Viewer will access the point cloud as it resides on AWS under the usgs-lidar-public container. |
---|---|
Process Date/Time: | 2022-02-16 00:00:00 |
Process Contact: | Office for Coastal Management (OCM) |
Catalog Details
Catalog Item ID: | 66639 |
---|---|
GUID: | gov.noaa.nmfs.inport:66639 |
Metadata Record Created By: | Rebecca Mataosky |
Metadata Record Created: | 2022-02-16 16:48+0000 |
Metadata Record Last Modified By: | SysAdmin InPortAdmin |
Metadata Record Last Modified: | 2023-10-17 16:12+0000 |
Metadata Record Published: | 2022-03-16 |
Owner Org: | OCMP |
Metadata Publication Status: | Published Externally |
Do Not Publish?: | N |
Metadata Last Review Date: | 2022-03-16 |
Metadata Review Frequency: | 1 Year |
Metadata Next Review Date: | 2023-03-16 |